Dynamics analysis of slender vehicle influenced by random factors

Xu, Jiangtao; Yong, Yang; Fu, Bangsheng; Wang, Shaobo; Gao, Quanxi

doi:10.1016/j.jfluidstructs.2020.103086

Cited by 1 publication

(1 citation statement)

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“…SFEM was used to obtain the statistics of nonlinear natural frequency response of second-order. Xu 29 uses SFEM to model and verify the aeroelasticity of slender aircraft with stochastic factors. The results show that the established model has good statistical characteristics of aeroelastic response.…”

Section: Introductionmentioning

confidence: 99%

Modeling and analysis of high aspect ratio wing considering random structural parameters

Yong²,

et al. 2021

Sci Rep

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With the application of advanced composite materials in High-Aspect-Ratio wings (HARW), the randomness of structural parameters, such as elastic modulus and Poisson's ratio, is enhanced. Hence, in order to explore the whole picture of aeroelastic problems, it is of great significance to study the role of random structural parameters in aeroelastic problems. In this paper, the dynamic response of flexible HARW considering random structural parameters is analyzed. An aeroelastic model of a one-dimensional cantilevered Euler–Bernoulli beam considering aerodynamic forces acting on the wing is established based on Hamilton's principle. Adopted the idea of simplifying calculation, the effect of random structural parameters is analyzed. Then, considering the elastic modulus and torsional stiffness as continuously one-dimensional random field functions, and discretized by local method. The first and second order recursive stochastic nonlinear finite element equations of wing are derived by using perturbation method. Based on it, statistical expression of aeroelastic effects of the wing is derived. Monte Carlo method is adopted to verify the effectiveness of the method. Numerical simulations indicate that the method proposed can well mirror the statistical characteristics of aeroelastic response.

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Section: Introductionmentioning

confidence: 99%